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We simulated Al Wahda vs Al Dhafra 100,000 times. Al Wahda won 60,501 of them (60.5%), the draw came up 21.8% of the time and Al Dhafra won 17.7%. No single score is common: 1-1 is the likeliest at 10.2%, while the likeliest Al Wahda win is 2-0 (9.8%). Both teams score in 55.5% of simulations.
Full time 2-0. Before kick-off the simulations had Al Wahda winning 60.5% and gave this exact score 9.8%.
| Al Wahda win | 60.5% |
|---|---|
| Draw | 21.8% |
| Al Dhafra win | 17.7% |
| Most likely score | 1-1 (10.2%) |
| Expected goals | 2.05 – 1.01 |
| Both teams to score | 55.5% |
| Over 1.5 goals | 81.1% |
| Over 2.5 goals | 58.7% |
|---|---|
| Over 3.5 goals | 36.6% |
| Al Wahda score first | 65.7% |
| Al Dhafra score first | 28.7% |
| Al Wahda clean sheet | 36.6% |
| Al Dhafra clean sheet | 13.3% |
Every number on this page comes from one request: 1X2, scorelines, goal lines, halves, HT/FT, Asian handicaps, corners, cards and goal timing, plus the market comparison, value bets and the full expected-goals breakdown. Up to ten fixtures per call.
GET /api/predictions/generate/420712222 ?v=2 &detail=standard &include=value,corners,cards # 100,000 runs: 1X2, scores, goals, halves, # corners, cards, value bets, xG breakdown
Al Wahda are favourites. They win 60.5% of our 100,000 simulations, against 21.8% for the draw and 17.7% for Al Dhafra. Including the draw, Al Wahda avoid defeat 82.3% of the time.
1-1, which came up in 10.2% of simulations. Next are 2-0 (9.8%) and 2-1 (9.7%). The likeliest Al Wahda win is 2-0 (9.8%). No single score is likely on its own, which is why the full spread of scorelines matters.
Both teams score in 55.5% of simulations. Al Wahda keep a clean sheet 36.6% of the time and Al Dhafra 13.3%.
The simulations average 3.06 goals: 2.05 for Al Wahda and 1.01 for Al Dhafra. Over 1.5 goals lands 81.1% of the time, over 2.5 goals 58.7% and over 3.5 goals 36.6%.
Our v2 engine plays the match 100,000 times. It starts from the sharpest betting market (here Pinnacle), blends in each team's recent attack and defence numbers and xG, then uses a Dixon-Coles model so low scores like 0-0 and 1-1 come up as often as they do in real football. Goal times, corners and cards are simulated minute by minute.
Every 20 minutes on matchday and every few hours before that, so it moves with team news and the betting market. The last pre-match run stays on the page after kick-off so you can compare it with the result.